Deepen AI offers high-touch and flexible multi-sensor fusion calibration and labeling services for clients in the autonomous systems, robotics, autonomous vehicles, drones, retail, and mining industry. We support: Bounding boxes, Instance & Semantic segmentation, Polylines, Keypoints, Scenario.
Founded in 2017, Deepen AI delivers fast and accurate calibration and annotation/labeling services. We have a team of 350+ highly skilled sensor fusion data annotators. Deepen AI offers high-touch and flexible multi-sensor fusion labeling services for clients in the autonomous systems, robotics, autonomous vehicles, drones, retail, and mining industry.
We fully support all types of 3D and 2D labeling types:
Bounding boxes
Instance & Semantic segmentation
Polylines
Keypoints / Landmarks
Scenario labeling
Deepen AI follows strict security protocols. We are SOC 2 certified and are fully compliant with global data protection and privacy standards like GDPR.
Deepen AI works closely with Tier 1s, OEMs as well as start-ups all over the world.
Headquartered in Silicon Valley, California. We have satellite offices in Detroit, Hyderabad, Europe, Hong Kong, and Tokyo.
Highlights
Efficient project setup - Our dedicated project managers study your annotation requirements and set up workflows to execute the project efficiently.
Multi-sensor fusion: Our team of expert annotators can handle multi-sensor fusion annotation and labeling with ease and precision.
Security and Compliance: We are SOC 2 certified and are fully compliant with global data protection and privacy standards like GDPR.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses a single usage-based pricing dimension. You pay per 10-second interval of data processed. The more intervals of data you annotate, the more you pay, so charges scale directly with your usage. There are no tiers, seat counts, or fixed commitments to choose from. This model fits annotation work across image, video, and 3D LiDAR sensor data, where timed intervals measure the volume being labeled. Your total cost depends entirely on how many 10-second intervals you run through the service.
Top-of-mind questions for buyers
What does one 10-second interval represent for billing?
Each 10-second interval is a timed segment of the sensor data you submit for labeling. This covers image, video, and 3D LiDAR datasets. You are charged for each interval processed through the annotation service. The count of intervals reflects the volume of data your team labels.
How does my cost change as my annotation volume grows?
Cost scales directly with the number of 10-second intervals you process. There are no tiers or thresholds, so each added interval bills at the same per-interval rate. If your data volume drops, your charges fall in step. You pay only for the intervals you actually run.
Are annotation types like 2D, 3D, or LiDAR billed differently?
The listing uses one per-interval rate. The service supports 2D boxes, segmentation, 3D bounding boxes, point cloud segmentation, and multi-sensor fusion. All of these are measured by the same 10-second interval unit. For scope or rate details tied to a specific project, contact the vendor.
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Vendor refund policy
We have always strived to exceed our customers quality benchmarks, no matter if its for first-time, or longstanding customers. Our quality standard depends on the sensor type, calibration quality, taxonomy complexity and labeling specifications. Typical quality targets are 97%+ for high quality datasets.
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